Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Rocket-Powered Data Science

JULY 13, 2023

Data is more than just another digital asset of the modern enterprise. So, what happens when the data flows are not quarterly, or monthly, or even daily, but streaming in real-time? Well, it soon became clear that the real problem was the reverse: how can we have our business move at the speed of our data?

Analytics 167

Analytics Machine Learning Data Science Deep Learning 167

AWS Big Data

MARCH 28, 2024

To optimize the reconciliation process, these users require high performance transformation with the ability to scale on demand, as well as the ability to process variable file sizes ranging from as low as a few MBs to more than 100 GB. Our legacy service was built with Amazon Elastic Container Service (Amazon ECS) on AWS Fargate.

Optimization 82

Optimization IT Big Data Data Processing 82

AWS Big Data

MAY 16, 2023

In today’s digital age, logging is a critical aspect of application development and management, but efficiently managing logs while complying with data protection regulations can be a significant challenge. The exact length of time required for data storage varies depending on the specific regulation and the type of data being stored.

Data Lake 71

Data Lake Cost-Benefit Optimization Testing 71

AWS Big Data

NOVEMBER 15, 2023

Stream data processing allows you to act on data in real time. Real-time data analytics can help you have on-time and optimized responses while improving the overall customer experience. Data streaming workloads often require data in the stream to be enriched via external sources (such as databases or other data streams).

Testing 92

Testing Optimization Management Metadata 92

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. Apache Iceberg 1.2.0, and Delta Lake 2.3.0.

Data Lake 115

Data Lake Metadata Optimization Statistics 115

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. However, building a C360 solution can be complicated. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

IBM Big Data Hub

FEBRUARY 6, 2024

on-premises, private cloud, public cloud, edge) with public cloud services from more than one provider. Cloud computing enables organizations to use infrastructure and applications over the internet without installing and maintaining them on-premises or in-house. What is cloud computing?

Cost-Benefit 104

Cost-Benefit Digital Transformation Software Modeling 104

AWS Big Data

NOVEMBER 15, 2023

Stream data processing allows you to act on data in real time. Real-time data analytics can help you have on-time and optimized responses while improving the overall customer experience. Data streaming workloads often require data in the stream to be enriched via external sources (such as databases or other data streams).

Testing 52

Testing Optimization Management Metadata 52

AWS Big Data

OCTOBER 4, 2023

Amazon EMR provides a managed Hadoop framework that makes it straightforward, fast, and cost-effective to process vast amounts of data using EC2 instances. Amazon EMR with Spot Instances allows you to reduce costs for running your big data workloads on AWS. The following diagram illustrates this architecture.

Big Data 83

Big Data Optimization Data-driven Management 83

The Unofficial Google Data Science Blog

AUGUST 31, 2016

By DAVID ADAMS Since inception, this blog has defined “data science” as inference derived from data too big to fit on a single computer. Thus the ability to manipulate big data is essential to our notion of data science.

Data Science 66

Data Science Sales Optimization Cost-Benefit 66

Cloudera

AUGUST 26, 2020

On August 18, we completed our Enterprise Data Cloud vision of bringing a truly hybrid cloud experience with the general availability of Cloudera Data Platform Private Cloud (CDP Private Cloud). Learn more about their solutions here. Here’s how our partner ecosystem supports CDP Private Cloud for example.

Machine Learning 79

Machine Learning Big Data Data Warehouse Data-driven 79

Rocket-Powered Data Science

JULY 14, 2023

We discussed in another article the key role of enterprise data infrastructure in enabling a culture of data democratization, data analytics at the speed of business questions, analytics innovation, and business value creation from those innovative data analytics solutions.

Analytics 188

Analytics Big Data Strategy Enterprise 188

IBM Big Data Hub

MARCH 20, 2024

Most of us take for granted the countless ways public cloud-related services—social media sites (Instagram), video streaming services (Netflix), web-based email applications (Gmail), and more—permeate our lives. A public cloud is a type of cloud computing in which a third-party service provider (e.g.,

Internet of Things 93

Internet of Things Cost-Benefit Data Processing IoT 93

AWS Big Data

JULY 14, 2023

It works as a force multiplier through automation and self-service, while providing accurate and on-time payments and collections. FinAuto has a unique position to look across FinOps and provide solutions that help satisfy multiple use cases with accurate, consistent, and governed delivery of data and related services.

Finance 86

Finance Metadata Big Data Recreation/Entertainment 86